Codility Screen's new Typing Pattern Detection is a passive behavioural proctoring signal designed to identify candidates who may be retyping solutions generated by external AI coding assistants like ChatGPT or Claude.
This feature helps you maintain assessment integrity by flagging a growing and previously difficult-to-detect method of assessment evasion. Typing Pattern Detection provides a reliable indicator to ensure the quality of candidates progressing to the interview stage.
- Detects Evasion: It addresses the increasingly common practice of using AI tools on secondary devices to bypass assessments.
- Reduces Hiring Risk: It lowers the risk of hiring an individual whose assessment score doesn't accurately reflect their true coding ability.
- Supports Human Review: The flag is a risk indicator to support your team’s decision-making process, ensuring you maintain control over how proctoring data is acted upon, rather than relying on automated disqualification.
- Zero Friction: The signal collection is passive, adding no interruption or distraction to the candidate's assessment experience.
Learn more about this feature here.